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Transformer-based unsupervised contrastive learning for histopathological image classification
Medical Image Anal., 2022Xiyue Wang +7 more
semanticscholar +1 more source
1994
Abstract The neural networks we have considered so far have all required an external teacher to tell them the correct response for each input. The networks learn by adjusting their synaptic weights to make their outputs correspond more closely to that desired by the teacher.
openaire +1 more source
Abstract The neural networks we have considered so far have all required an external teacher to tell them the correct response for each input. The networks learn by adjusting their synaptic weights to make their outputs correspond more closely to that desired by the teacher.
openaire +1 more source
A Survey of Unsupervised Generative Models for Exploratory Data Analysis and Representation Learning
ACM Computing Surveys, 2022Angelo Genovese +2 more
exaly
EMFusion: An unsupervised enhanced medical image fusion network
Information Fusion, 2021Han Xu
exaly
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion
Information Fusion, 2020Jiayi, Chen Chen, Pengwei Liang
exaly
International Conference on Machine Learning, 2009
Honglak Lee +3 more
semanticscholar +1 more source
Honglak Lee +3 more
semanticscholar +1 more source
Fully memristive neural networks for pattern classification with unsupervised learning
Nature Electronics, 2018Zhongrui Wang, Saumil Joshi, Wenhao Song
exaly